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mvcauchy (version 1.0)

Multivariate Cauchy Distribution

Description

The Cauchy distribution is a special case of the t distribution when the degrees of freedom are equal to 1. The functions are related to the multivariate Cauchy distribution and include simulation, computation of the density, maximum likelihood estimation, contour plot of the bivariate Cauchy distribution, and discriminant analysis. References include: Nadarajah S. and Kotz S. (2008). "Estimation methods for the multivariate t distribution". Acta Applicandae Mathematicae, 102(1): 99--118. , and Kanti V. Mardia, John T. Kent and John M. Bibby (1979). "Multivariate analysis", ISBN:978-0124712522. Academic Press, London.

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Version

Install

install.packages('mvcauchy')

Monthly Downloads

566

Version

1.0

License

GPL (>= 2)

Maintainer

Michail Tsagris

Last Published

February 6th, 2024

Functions in mvcauchy (1.0)

mvcauchy-package

Multivariate Cauchy Distribution
Prediction with Cauchy naive Bayes classifier

Prediction with Cauchy naive Bayes classifier
Cross-validation for the maximum likelihood discriminant analysis using the multivariate Cauchy distribution

Cross-validation for the maximum likelihood discriminant analysis using the multivariate Cauchy distribution
Cross-validation for the Cauchy discriminant analysis

Cross-validation for the Cauchy discriminant analysis
Maximum likelihood discriminant analysis using the multivariate Cauchy distribution

Maximum likelihood discriminant analysis using the multivariate Cauchy distribution
MLE of the multivariate Cauchy distribution

MLE of the multivariate Cauchy distribution
Contour plot of the bivariate Cauchy distribution

Contour plot of the bivariate Cauchy distribution
Cauchy naive Bayes classifier

Cauchy naive Bayes classifier
Density of the multivariate Cauchy distribution

Density of the multivariate Cauchy distribution
Random values simulation from the multivariate Cauchy distribution

Random values simulation from the multivariate Cauchy distribution